Senior AI Application Engineer

atEVERSANARemoteUS flagNew YorkFull-timeApplication EngineerSenior$178k – $215k/year

Posted 1 day ago

This is a fully remote position, open to applicants in New York.

📋 Description

• Design, architect, and implement scalable multi-agent systems that automate intricate, multi-step business processes.

• Convert existing workflows and create innovative multi-agent frameworks to seize new opportunities.

• Develop agentic solutions utilizing orchestration frameworks such as Google ADK, LangGraph, and CrewAI.

• Create secure tool-calling architectures that allow LLMs to interact safely with internal databases, CRMs, and APIs.

• Apply LLMOps/AgentOps best practices effectively.

• Address AI-specific security challenges, including prompt injection, hallucination loops, and unauthorized tool execution.

• Collaborate under the supervision of the Chief AI & Analytics Officer.

• Show a strong commitment to diversity, equity, and inclusion through ongoing development and inclusive practices.

• Carry out additional tasks as assigned.

• Travel as necessary to engage with clients, stakeholders, or off-site personnel/management.


⛳️ Requirements

• Ph.D. in Computer Science, Engineering, Mathematics, Physics, Artificial Intelligence, Software Engineering, or a closely related discipline.

• Over 7 years of experience in software engineering.

• At least 3 years of experience specifically in generative AI, LLMs, or cognitive architectures.

• Advanced proficiency in Python and/or TypeScript.

• Familiarity with MCP architectures.

• Proficient in Rust.

• Thorough understanding of agentic design patterns, including ReAct, Plan-and-Solve, Reflection, and Tree of Thoughts.

• Extensive experience with LLM APIs, such as OpenAI, Anthropic, and Google Gemini.

• Experience with open-weights models, including Llama 3 and Mistral.

• Knowledge of vector and graph databases.

• Experience with RAG architectures, including GraphRAG and hybrid search.

• Solid background in AWS, GCP, or Azure cloud architecture.

• Familiarity with Docker/Kubernetes containerization.

• Some travel may be required.

• Ability to commit to a 40-hour work week, Monday through Friday.


🏝️ Benefits

• Competitive salary.

• Options for remote work.

• Reasonable accommodations provided during the hiring process.

• Commitment to diversity, equity, and inclusion.

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